imgeorgiev/DiffRL
Learning Optimal Policies Through Contact in Differentiable Simulation
Jupyter NotebookNOASSERTION
Stargazers
- adhiiisetiawan@KalbeDigitalLab
- air23zj
- alejotoro-oColombia
- AndreaBussolan
- arunkru1998
- csingh27DFKI Robotics Innovation Center @dfki-ric
- curieuxjyRobotics Innovatory at SKKU
- DRvader
- dunyang97BeiJing
- echandler5956f
- gabalyindustries
- GodExious
- haem-k
- HongyunQiuLight Speed Vision (Beijing) Co.LTD （QHYCCD）
- Jaykef
- JeonghyunNamSouth Korea
- josephroccaSingapore
- julianlotzer
- Kashu7100Carnegie Mellon University
- livanov93
- moskomuleRIKEN AIP
- nickvazzTau Motors
- Planck35
- RobokanAlionics
- roysh
- rua0ra1Sydney, Australia
- sdamera95University of Maryland
- sergey-rubtsov
- ssilenziFermo, Italy
- supermartianHangzhou, Zhejiang
- tokarev-i-v
- vivek-saaraSaara,Inc @saarainc
- Volkopat
- wbthomason@bdaiinstitute
- zhonghai1995
- zhouxiqin2017